STRIDE Lab

STRIDE LAB

Smart Technologies for Robust Intelligence & Decision Engineering

Causal Neuro-Symbolic AI

Trustworthy and Responsible AI

Human-in-the-Loop Learning

Domain Applications

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Causal " Neuro-Symbolic " Impact "
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PUBLICATIONS

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing
ManufacturingCausal AI

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing

arXiv preprint

Causal Neuro-Symbolic Artificial Intelligence: Synergy Between Neuro-Symbolic and Causal AI
DissertationCausal AI

Causal Neuro-Symbolic Artificial Intelligence: Synergy Between Neuro-Symbolic and Causal AI

University of South Carolina

Multiagent CoPilot in Industrial AI Applications
Industrial AIMulti-Agent

Multiagent CoPilot in Industrial AI Applications

Conference Paper

HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph
Knowledge GraphsCausal AI

HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph

arXiv preprint

Influence of Backdoor Paths on Causal Link Prediction
Causal AILink Prediction

Influence of Backdoor Paths on Causal Link Prediction

arXiv preprint

CausalLP: Learning Causal Relations with Weighted Knowledge Graph Link Prediction
Knowledge GraphsCausal AI

CausalLP: Learning Causal Relations with Weighted Knowledge Graph Link Prediction

arXiv preprint

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Dr. Utkarshani Jaimini

Principal Investigator

Dr. Jaimini leads STRIDE Lab's research in causal neuro-symbolic AI. Her work focuses on developing interpretable, trustworthy AI systems for high-stakes decision-making in healthcare, autonomous systems, and smart manufacturing.

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JOIN US

We're always looking for motivated PhD, MS, and undergraduate students passionate about causal AI, neuro-symbolic reasoning, and trustworthy machine learning. If you're interested in joining STRIDE Lab, reach out to discuss opportunities.

jaimini@umich.edu